KPIs, or key performance indicators, show high-level health of your subscription business over time. They're extremely useful in understanding revenue growth, trends, and potential.
ReCharge's KPIs break down the active and inactive subscriber count so you are always aware of how many subscribers you have and are able to be aware of any positive or negative trends, based on sales or market exposure.
Before you start
This dashboard is available to merchants with either Basic or Enhanced Analytics. Only merchants on Enhanced Analytics have the ability to drill down into each chart to view individual transactions.
KPI Dashboard overview
The data below is displayed on your Revenue Trends dashboard. It contains a summary of total sales, recurring sales, and sales per charge.
This information allows you to see if there are any patterns in popular selling days or certain days that sales may be surprisingly low. You can also learn more about total sales, and how much customers are spending on average.
- Total Sales – Charge amount of all charges.
- Recurring Sales – These are the 2nd+ charges of a subscription. Includes sales that came from charges that were automatically queued or scheduled.
- Sales per charge – Average total sales amount per charge for all charges in that period.
- Refunds – Total amount of refunded purchases in the time frame.
- Total Sales Graph – Total sales and charge counts day by day.
Total sales recurring vs checkout graph
This compares the number of customers that are on their 2+ order versus new customers allowing you to measure growth and retention. Here you can see at which speed you are gaining new customers, and what percent of total sales are recurring customers.
- Checkout Sales – Charge that was a result of a customer actively checking out. This is the 1st charge of the subscription.
New subscriptions vs cancellations
This is showing new subscriptions daily and compares it to daily cancellations, enabling you to see if there are more customers signing up instead of canceling.
You can also drill into this information for specifics, including same-day cancellations.
- New Subscriptions – Count of purchase items where there is at least one subscription was created.
- Cancellations – Count of purchase items where there was a cancellation.
- Same day cancellations –Count of purchase items where the subscription was created and canceled on the same day.
- Active Cancellations – Cumulative sum of cancellations that resulted from customers initiating the cancellation.
- Max Retries – Cumulative sum of cancellations that triggered automatically when credit card retries achieved a max limit.
Customers with active subscriptions
The graph on the left displays the customers who have at least one active subscription and provides insights into increasing or decreasing sales. On the right, you're able to see a lifetime look at active subscriptions vs. non-active subscriptions which shows you the makeup of your entire customer base. You can search by specific data points, such as as created at date to isolate new customers.
For further information on the data, click on the graph to open the drilldown view.
Filter your timeframe
The Enhanced Analytics Revenue trends dashboard gives you the ability to modify the data granularity.
This will affect how the chart displays aggregate time frames. For example, this is what the revenue timeline looks like when aggregated by week:
Compared to the default of daily:
Estimated Revenue Metrics
Using subscription data, Enhanced Analytics can help you estimate revenue based on future charges within periods of 7 days, 30 days, and 90 days.
Estimated Revenue Dashboard
The estimated metrics are derived from upcoming charges for subscription items that are either in a queue or error state while factoring in their recurring price and quantity.
- Estimated Error Charges: Sum total of active purchase items with a current error. This figure assumes that the error charge will go through before it reaches the max number of retries.
- Estimated Queued Charges: For active purchase items with an upcoming queued charge, this figure shows the number of charges that we would expect to see in the next 7, 30, 90 days (if there are no charge errors, skips, etc.).
- Total Estimated Charges: Total sum of estimated error charges and estimated queued charges.
Using the data from Estimated Charges and factoring in price and quantity, the Estimated Revenue section predicts future revenue.
- Estimated queued revenue: Recurring price multiplied by quantity for subscription item products with queued charges in the next 7, 30, and 90 days.
- Estimated Error revenue: Recurring price multiplied by quantity for subscription item products with error charges in the next 7, 30, and 90 days.
- Total revenue: Sum total of estimated error revenue and estimated queued revenue.
Historical Revenue bar graph
The final section in the Estimated Revenue Dashboard is a comparison of revenue your store has generated over a set time frame, compared to the sales Recharge predicts you will make.
- Historical Revenue: Revenue (minus taxes, shipping, and discounts) from recurring charges that were processed in the last 7, 30, and 90 days